Weibull++ Standard Folio Data 1P-Weibull: Difference between revisions
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The one-parameter Weibull distribution is a special case of the two parameter Weibull that assumes that shape parameter is known constant, | The one-parameter Weibull distribution is a special case of the two parameter Weibull that assumes that shape parameter is known constant, | ||
<math>\beta=C \,\!</math> | <math>\beta=C \,\!</math> | ||
or | or |
Revision as of 23:31, 10 February 2012
The One-Parameter Weibull DistributionThe one-parameter Weibull distribution is a special case of the two parameter Weibull that assumes that shape parameter is known constant, [math]\displaystyle{ \beta=C \,\! }[/math] or [math]\displaystyle{ R(t)=e^{-\left( {\frac{t}{ \eta }}\right) ^{C}} \,\! }[/math] In this formulation we assume that the shape parameter is known a priori from past experience on identical or similar products. The advantage of doing this is that data sets with few or no failures can be analyzed. More... |
See also The Weibull Distribution |
See also Analysis Example |